A model-theoretic analysis of knowledge
Journal of the ACM (JACM)
Reasoning about Information Change
Journal of Logic, Language and Information
The logic of public announcements, common knowledge, and private suspicions
TARK '98 Proceedings of the 7th conference on Theoretical aspects of rationality and knowledge
Probabilistic Dynamic Epistemic Logic
Journal of Logic, Language and Information
Conditional Probability Meets Update Logic
Journal of Logic, Language and Information
Reasoning about Uncertainty
Journal of Logic and Computation
Dynamic Epistemic Logic
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This paper develops a probabilistic model of belief change under interpretation shifts, in the context of a problem case from dynamic epistemic logic. Van Benthem [4] has shown that a particular kind of belief change, typical for dynamic epistemic logic, cannot be modelled by standard Bayesian conditioning. I argue that the problems described by van Benthem come about because the belief change alters the semantics in which the change is supposed to be modelled: the new information induces a shift in the interpretation of the sentences. In this paper I show that interpretation shifts can be modeled in terms of updating by conditioning. The model derives from the knowledge structures developed by Fagin et al [8], and hinges on a distinction between the propositional and informational content of sentences. Finally, I show that Dempster-Shafer theory provides the appropriate probability kinematics for the model.